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will design and implement novel computer vision and machine learning methods for “sensorized” cameras that extract medically relevant features without transmitting raw video. You will evaluate algorithms
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tools, including 4D point cloud modeling and state-of-the-art machine learning and deep learning techniques (such as generative adversarial networks), with empirical fieldwork in Norwegian glacier
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to the editing of the resulting volume. Teach or co-teach (up to 10% of annual workload). Contribute actively to the project and the host institution’s research community. Eligibility and assessment Applicants
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. The department has a strong community on related topics: research groups working on digital health and wellbeing , network science , computational social science , and various topics in machine learning. You will
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, awarded no longer than 10 years before the Call deadline (excluding any declared career breaks, such as parental leave or military service). Applicants must meet the MSCA Mobility Rule Requirements, that is
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deadline, awarded no longer than 10 years before the Call deadline excluding any declared career breaks, such as parental leave or military service). Applicants must meet the MSCA Mobility Rule Requirements
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are Professor Mika Pettersson and Dr. Andreas Johansson at the Department of Chemistry and Nanoscience Center (JYU). The project deals with the development of a novel nerve-machine interface built from graphene
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decade, providing opportunities to mine big data to learn more about the drivers of AMR in humans. Our work includes computational analysis of antibiotic resistance and microbiomes, statistical analysis
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biology, biomolecular, and biohybrid materials. Requirements Recently obtained PhD (within five years) in biotechnology, molecular biology, biochemistry, or a related field. The candidate should have sound
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specifically developing and applying new technologies (e.g. mixed reality, movement- and biosensing, remote cognitive testing, mobile EEG) for studying neurodevelopmental disorders (e.g. ADHD, autism, learning